A guideline for building practical production-level deep learning systems to be deployed in real world applications.
☆4,638Jun 13, 2025Updated 11 months ago
Alternatives and similar repositories for Production-Level-Deep-Learning
Users that are interested in Production-Level-Deep-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆10,417Apr 15, 2023Updated 3 years ago
- This repo is meant to serve as a guide for Machine Learning/AI technical interviews.☆8,363Nov 28, 2025Updated 6 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,607Updated this week
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,380Nov 9, 2024Updated last year
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,473Oct 4, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A curated list of references for MLOps☆13,930Nov 21, 2024Updated last year
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆12,611Aug 31, 2023Updated 2 years ago
- A collection of various deep learning architectures, models, and tips☆17,522Feb 8, 2024Updated 2 years ago
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆29,647Jul 18, 2024Updated last year
- Natural Language Processing Best Practices & Examples☆6,438Aug 30, 2022Updated 3 years ago
- Learn how to develop, deploy and iterate on production-grade ML applications.☆47,934Mar 4, 2026Updated 3 months ago
- Production infrastructure for machine learning at scale☆8,017Jun 12, 2024Updated last year
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,549Apr 19, 2026Updated last month
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,505Nov 27, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,693Dec 1, 2025Updated 6 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,816Oct 19, 2024Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆31,851Oct 15, 2023Updated 2 years ago
- Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the mo…☆22,955Jul 28, 2024Updated last year
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,354Jul 3, 2024Updated last year
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,178Updated this week
- Best Practices, code samples, and documentation for Computer Vision.☆9,861Feb 16, 2024Updated 2 years ago
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆26,338Updated this week
- The fastai deep learning library☆28,023May 20, 2026Updated 2 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Best Practices on Recommendation Systems☆21,744Updated this week
- Build, Manage and Deploy AI/ML Systems☆10,114Jun 3, 2026Updated last week
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,177Jun 2, 2025Updated last year
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆8,664Jun 3, 2026Updated last week
- Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.☆3,659Dec 27, 2019Updated 6 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,221Jun 14, 2022Updated 3 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,380Aug 16, 2024Updated last year
- Data science interview questions and answers☆10,027Jun 1, 2026Updated last week
- https://huyenchip.com/ml-interviews-book/☆4,645Mar 21, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,635May 14, 2026Updated 3 weeks ago
- A system for quickly generating training data with weak supervision☆5,973Apr 10, 2026Updated 2 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,518Feb 1, 2026Updated 4 months ago
- A curated list of awesome computer vision resources☆23,305May 17, 2024Updated 2 years ago
- 🦉 Data Versioning and ML Experiments☆15,662Updated this week
- A curated list of resources dedicated to Natural Language Processing (NLP)☆18,703Updated this week
- Google Research☆38,077Updated this week